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Open nowPosted 2 days ago

Data Scientist

vst95 open roles

Where
Irving, Texas
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Your applicationOpen nowData Scientistvst · Irving, Texas

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. vst postings stay open a median of 3 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted 2 days ago

vst median: 3 days open

The posting

If you have what it takes to become part of the Vistra family and would like to start a promising career with a global leader, take a look at the exciting employment opportunities that are currently available and apply online.

Job Summary

We are seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for designing and implementing complex analytical solutions to support business decisions. You will work closely with stakeholders to understand business requirements, identify opportunities for data-driven insights, and develop and execute data models and analyses. The ideal candidate will have advanced technical skills in statistical analysis, machine learning, and data visualization, as well as strong business acumen and communication skills. You will have the opportunity to work on challenging projects, learn cutting-edge techniques, and contribute to the development of innovative solutions.

Job Description

Job Description

Key Accountabilities

•Work closely with stakeholders to identify business needs and opportunities for data-driven insights

•Extract, clean, and analyze complex datasets using statistical techniques and data manipulation tools.

•Develop and execute complex statistical models and machine learning algorithms to extract insights and drive business decisions

•Design and implement data visualizations to effectively communicate insights to stakeholders

•Support the presentation of findings and insights through clear and concise data visualizations, charts, and reports.

•Collaborate with cross-functional teams to ensure data accuracy, consistency, and reliability

•Develop and maintain data pipelines and databases

•Stay up-to-date with emerging trends and technologies in data science and apply them to business problems

•Document methodologies, processes, and findings to enable knowledge sharing and future reference.

Education, Experience, & Skill Requirements

•Master's or Ph.D. degree in a quantitative field such as Statistics, Mathematics, Computer Science, or related field

•1-3 years of experience in data science or related field

•Proficiency in statistical analysis, ML Ops, and data visualization

•Familiarity with databases (e.g. Snowflake, Hadoop, Oracle etc) and dashboarding tools (e.g. PowerBI, Tableau, Grafana)

•Comfortable understanding, developing, and maintaining a large codebase (Python, SAS, R)

Key Metrics

•Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders

•Ability to work independently and collaboratively in a fast-paced environment

#LI-Hybrid

#LI-ND1

Job Family

Data Analytics

Company

Vistra Corporate Services Company

Locations

Irving, Texas

Texas

We are a company of people committed to: Exceeding Customer Expectations, Great People, Teamwork, Competitive Spirit and Effective Communication. If this describes you, then apply today!

If you currently work for Vistra or its subsidiaries, please apply via the internal career site.

It is the policy of the Company to comply with all employment laws and to afford equal employment opportunity to individuals in all aspects of employment, including in selection for job opportunities, without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, disability, genetic information, military service, protected veteran status, or any other consideration protected by federal, state or local laws.

If you are an individual with a disability and need assistance submitting an application or would like to request an accommodation, please email us at [email protected] to make a request.

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